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dc.contributor.authorSánchez González, Juan
dc.contributor.authorPérez Romero, Jordi
dc.contributor.authorSallent Roig, José Oriol
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationSanchez, J.; Perez, J.; Sallent, J. A rule-based solution search methodology for self-optimization in cellular networks. "IEEE communications letters", 12 Desembre 2014, vol. 18, núm. 12, p. 2189-2192.
dc.description.abstractThis letter presents a rule-based solution search (RBSS) algorithm for self-optimization in a cellular network. It improves the solution search process of classical optimization methodologies by including a set of rules that capture the knowledge of how a given problem can be solved. The results obtained in a scenario using measurements from a real network reveal that including the RBSS algorithm achieves reductions of up to 60% and 90% in the convergence time of Particle Swarm and Genetic Algorithms, respectively.
dc.format.extent4 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshMobile communication systems
dc.subject.otherSelf-organizing networks (SON)
dc.subject.otherCellular networks
dc.subject.otherCell coverage
dc.subject.otherCell overlap
dc.titleA rule-based solution search methodology for self-optimization in cellular networks
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorSanchez, J.; Perez, J.; Sallent, J.
local.citation.publicationNameIEEE communications letters

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